Literature DB >> 19848431

Are current semiempirical methods better than force fields? A study from the thermodynamics perspective.

Gustavo de M Seabra1, Ross C Walker, Adrian E Roitberg.   

Abstract

The semiempirical Hamiltonians MNDO, AM1, PM3, RM1, PDDG/MNDO, PDDG/PM3, and SCC-DFTB, when used as part of a hybrid QM/MM scheme for the simulation of biological molecules, were compared on their abilities to reproduce experimental ensemble averages at or near room temperatures for the model system alanine dipeptide in water. Free energy surfaces in the (phi, psi) dihedral angle space, (3)J(H(N),H(alpha)) NMR dipolar coupling constants, basin populations, and peptide-water radial distribution functions (RDF) were calculated from replica exchange simulations and compared to both experiment and fully classical force field calculations using the Amber ff99SB force field. In contrast with the computational chemist's intuitive idea that the more expensive a method the better its accuracy, the ff99SB force field results were more accurate than most of the semiempirical methods, with the exception of RM1. None of the methods, however, was able to accurately reproduce the experimental data. Analysis of the results indicate that the specific QM/MM interactions have little influence on the sampling of free energy surfaces, and the differences are well explained simply by the intrinsic properties of the various QM methods.

Entities:  

Year:  2009        PMID: 19848431     DOI: 10.1021/jp903474v

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  10 in total

1.  Scrutinizing molecular mechanics force fields on the submicrosecond timescale with NMR data.

Authors:  Oliver F Lange; David van der Spoel; Bert L de Groot
Journal:  Biophys J       Date:  2010-07-21       Impact factor: 4.033

Review 2.  Semiempirical Quantum Mechanical Methods for Noncovalent Interactions for Chemical and Biochemical Applications.

Authors:  Anders S Christensen; Tomáš Kubař; Qiang Cui; Marcus Elstner
Journal:  Chem Rev       Date:  2016-04-13       Impact factor: 60.622

Review 3.  Conformational energy range of ligands in protein crystal structures: The difficult quest for accurate understanding.

Authors:  Megan L Peach; Raul E Cachau; Marc C Nicklaus
Journal:  J Mol Recognit       Date:  2017-02-24       Impact factor: 2.137

4.  ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB.

Authors:  James A Maier; Carmenza Martinez; Koushik Kasavajhala; Lauren Wickstrom; Kevin E Hauser; Carlos Simmerling
Journal:  J Chem Theory Comput       Date:  2015-07-23       Impact factor: 6.006

5.  DFTB3: Extension of the self-consistent-charge density-functional tight-binding method (SCC-DFTB).

Authors:  Michael Gaus; Qiang Cui; Marcus Elstner
Journal:  J Chem Theory Comput       Date:  2012-04-10       Impact factor: 6.006

6.  A coupled two-dimensional main chain torsional potential for protein dynamics: generation and implementation.

Authors:  Yongxiu Li; Ya Gao; Xuqiang Zhang; Xingyu Wang; Lirong Mou; Lili Duan; Xiao He; Ye Mei; John Z H Zhang
Journal:  J Mol Model       Date:  2013-06-14       Impact factor: 1.810

Review 7.  Enhanced semiempirical QM methods for biomolecular interactions.

Authors:  Nusret Duygu Yilmazer; Martin Korth
Journal:  Comput Struct Biotechnol J       Date:  2015-02-28       Impact factor: 7.271

8.  Structure Modeling of Human Tyrosyl-DNA Phosphodiesterase 1 and Screening for Its Inhibitors.

Authors:  I V Gushchina; D K Nilov; A L Zakharenko; O I Lavrik; V K Švedas
Journal:  Acta Naturae       Date:  2017 Apr-Jun       Impact factor: 1.845

9.  Role of active site residues in promoting cobalt-carbon bond homolysis in adenosylcobalamin-dependent mutases revealed through experiment and computation.

Authors:  Gabriel D Román-Meléndez; Patrick von Glehn; Jeremy N Harvey; Adrian J Mulholland; E Neil G Marsh
Journal:  Biochemistry       Date:  2013-12-20       Impact factor: 3.162

10.  Motional timescale predictions by molecular dynamics simulations: case study using proline and hydroxyproline sidechain dynamics.

Authors:  Abil E Aliev; Martin Kulke; Harmeet S Khaneja; Vijay Chudasama; Tom D Sheppard; Rachel M Lanigan
Journal:  Proteins       Date:  2013-09-17
  10 in total

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